Business process management has been the driving force of optimization and operational efficiency for companies until now, but the digitalization era we have been experiencing requires businesses to be agile and responsive as well. In order to be a part of this digital transformation, delivering new levels of automation-fueled agility through digitalization of BPM itself is required. However, the automation of BPM cannot be achieved by solely focusing on process space and classical planning techniques. It requires a holistic approach that also captures the social aspects of the business environment, such as corporate strategies, organization policies, negotiations, and cooperation. For this purpose, we combine BPM, knowledge-intensive systems and intelligent agent technologies, and yield one consolidated intelligent business process management framework, namely agileBPM, that governs the entire BPM life-cycle. Accordingly, agileBPM proposes a modeling methodology to semantically capture the business interests, enterprise environment and process space in accordance with the agent-oriented software engineering paradigm. The proposed agent-based process execution environment provides cognitive capabilities (such as goal-driven planning, norm compliance, knowledge-driven actions, and dynamic cooperation) on top of the developed business models to support knowledge workers’ multi-criteria decision making tasks. The context awareness and exception handling capabilities of the proposed approach have been presented with experimental studies. Through comparative evaluations, it is shown that agileBPM is the most comprehensive knowledge-intensive process management solution.

到目前为止，业务流程管理一直是公司优化和运营效率的驱动力，但是我们一直在经历的数字化时代也要求业务必须敏捷且响应迅速。为了成为此数字化转型的一部分，需要通过BPM本身的数字化将自动化驱动的敏捷性提高到新的水平。但是，仅通过专注于过程空间和经典计划技术就无法实现BPM的自动化。它需要一种全面的方法，该方法还应涵盖业务环境的社会方面，例如公司战略，组织政策，谈判和合作。为此，我们将BPM，知识密集型系统和智能代理技术相结合，敏捷的BPM，它控制着整个BPM生命周期。因此，敏捷BPM提出了一种建模方法，以根据面向代理的软件工程范式在语义上捕获业务兴趣，企业环境和流程空间。提议的基于代理的流程执行环境在已开发的业务模型之上提供认知功能（例如目标驱动的计划，规范合规性，知识驱动的行为和动态合作），以支持知识工作者的多标准决策任务。实验研究已经提出了该方法的上下文感知和异常处理能力。通过比较评估表明，敏捷BPM是最全面的知识密集型流程管理解决方案。